Triple
T524010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Gangster |
E10877
|
entity |
| Predicate | extendedCutRuntime |
P1958
|
FINISHED |
| Object | 176 minutes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 176 minutes | Statement: [American Gangster, extendedCutRuntime, 176 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendedCutRuntime Context triple: [American Gangster, extendedCutRuntime, 176 minutes]
-
A.
runtimeMinutes
chosen
Indicates the total duration of something, typically a media work or process, measured in minutes.
-
B.
extendedBy
Indicates that one entity builds upon, enlarges, or adds to the scope, functionality, or duration of another entity.
-
C.
missionExtension
Indicates that an existing mission is being prolonged beyond its originally planned duration or scope.
-
D.
usesExtraTimeInLaterRounds
Indicates that an entity allocates or consumes additional time during later stages or rounds of an activity, process, or event.
-
E.
expandedDuring
Indicates that an entity increased in size, scope, or extent over the course of a specified time period or event.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.